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Volume 30, Number 12—December 2024
Research

Effect of Sexual Partnerships on Zika Virus Transmission in Virus-Endemic Region, Northeast Brazil

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Author affiliation: Texas A&M University, College Station, Texas, USA (T. Magalhaes); Fundação Getulio Vargas, Rio de Janeiro, Brazil (F.C. Coelho); Instituto Aggeu Magalhães-Fundação Oswaldo Cruz, Recife, Brazil (W.V. Souza, I.F.T. Viana, E.T.A. Marques, C. Braga); Colorado School of Public Health, Aurora, Colorado, USA (T. Jaenisch); Heidelberg University Hospital, Heidelberg, Germany (T. Jaenisch); University of Pittsburgh, Pittsburgh, Pennsylvania, USA (E.T.A. Marques); Colorado State University, Fort Collins, Colorado, USA (B.D. Foy)

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Abstract

The epidemiologic effects of Zika virus (ZIKV) sexual transmission in virus-endemic countries remain unclear. We conducted a 2-level, linear mixed-effects logistic regression analysis by using a recently acquired population-based ZIKV and chikungunya virus (CHIKV) serologic dataset obtained from persons residing in Northeast Brazil (n = 2,070 participants). We adjusted mathematical models for housing type and age of participants; the models indicated a significantly higher likelihood of ZIKV seropositivity among persons engaged in a sexual relationship within the same household (odds ratio 1.25 [95% CI 1.00–1.55]; p = 0.047), regardless of their partner’s ZIKV serostatus, and among participants with a ZIKV-seropositive sex partner within the same household (odds ratio 1.54 [95% CI 1.18–2.01]; p = 0.002). CHIKV was also modeled as a control; no sex-associated effects were observed for CHIKV serology. Inclusion of ZIKV sexual transmission in prevention and control strategies is urgently needed, particularly in ZIKV-endemic regions.

In the mid-2010s, Zika virus (ZIKV) emerged as a global health threat despite its discovery in Uganda >6 decades earlier. After spreading across the islands of the South Pacific, the virus reached the Americas in 2013–2014, rapidly infecting >100 million persons during a 2015–2017 pandemic (1). The pandemic was a source for new information on ZIKV pathogenesis, including its potential to induce severe neurologic conditions, such as Guillain-Barré syndrome and congenital Zika syndrome (CZS) (2). It has been hypothesized that the primary mode of ZIKV transmission is through the bite of infected Aedes spp. mosquitoes (vector transmission). However, the virus can also be transmitted from mother to fetus through the placenta, potentially leading to CZS, and between persons via sexual intercourse (2,3).

Although ZIKV sexual transmission is recognized by health authorities and the scientific community, determining its epidemiologic relevance and how it contributed to the explosive spread of the virus has proved challenging. The main difficulty lies in distinguishing whether ZIKV infection occurred through mosquito bites or sexual contact, especially in affected persons living in countries with intense mosquito transmission of the virus.

Three field studies have shed light on ZIKV sexual transmission in regions highly affected by the 2015–2017 ZIKV pandemic. The first study was conducted in Puerto Rico and included participants acutely infected with ZIKV and their household members (4). The findings indicated that pairs of persons within the study households engaging in sexual relationships had a higher risk for both persons being ZIKV positive by PCR than other household pairs. The second study, conducted in Northeast Brazil by our group (T.M., T.J., E.T.A.M, and B.D.F.) (5), used a household-based serosurvey and showed that, within households, persons reporting sexual relationships with ZIKV-seropositive index-participants were 3 times more likely to also be ZIKV-seropositive than those without a sexual relationship with the index person. In addition, persons belonging to a sex dyad within households were more likely to be ZIKV seroconcordant than pairs who had no sexual relationship. The same serologic analysis was performed for chikungunya virus (CHIKV); no associations between paired serologic data and sexual activity among the study participants were observed (5). That serosurvey recruited persons who had experienced acute febrile illness caused by arbovirus infection a few months before recruitment (thus, not acutely infected) along with their household members. The third study, also conducted in Northeast Brazil, reported that men residing in a low socioeconomic area and engaging in risky sexual behaviors were more likely to be seropositive for ZIKV than men who did not report risky sexual behaviors (6). Those 3 studies provide valuable data supporting sexual activity as a risk factor for ZIKV infection in countries that have intense mosquito transmission; however, factors, such as selection bias (e.g., choosing households on the basis of persons with symptomatic disease) (5) and relatively low numbers of participants (4–6), limit the generalizability of those findings.

Mathematical models have also been used to estimate rates of ZIKV sexual transmission in regions affected by epidemics. In most cases, studies used national datasets of notified ZIKV cases in affected countries, such as Brazil and Colombia. Although some models have indicated minimal contribution of sexual transmission to ZIKV epidemics (7–9), the models that considered the synergistic effects of both mosquito and sexual transmission and heterogeneity of sexual relationships have indicated a more substantial role for sex in ZIKV infections overall (10–13). However, studies relying on official case notifications might be biased for several reasons. In particular, notified cases do not accurately represent the actual number of affected persons because of underreporting or misdiagnosis. Moreover, biases in gender-based healthcare seeking need to be considered when interpreting data from official notified cases.

We conducted a population- and household-based ZIKV seroprevalence study in an urban center in Northeast Brazil ≈3 years after ZIKV was introduced in the region (14); that serosurvey assessed past exposure to ZIKV and other arboviruses among residents of an arbovirus-hyperendemic region, ensuring representative demographic, socioeconomic, and spatial coverage. Using a large dataset obtained from that study (14), we performed a secondary analysis of the effect of sexual relationships on ZIKV transmission. The Institutional Review Board of Instituto Aggeu Magalhães approved the original study (protocol/Certificado de Apresentação de Apreciação Ética no. 79605717.9.0000.5190). We used the existing dataset and remained within the scope of the original study aims; thus, no additional approval for the secondary data analysis was required.

Methods

Primary Data Source

We conducted a stratified multistage cluster sampling survey to estimate the seroprevalence of ZIKV, CHIKV, and dengue virus (DENV) in residents of the city of Recife, Brazil, who were 5–65 years of age during August 2018–February 2019 (14). Recife, the capital of the state of Pernambuco, has an area of 218.8 km2 and a population of ≈1.5 million persons (15). Successive arbovirus outbreaks have been registered in the city since the introduction of DENV in the 1980s (16–18). After the surge of ZIKV cases in Brazil in 2015, Recife was a hotspot for microcephaly cases in babies associated with ZIKV infection (19).

The methods used for the original serosurvey have been previously described (14). In brief, we divided the population sample into high, intermediate, and low socioeconomic strata. We used a 2-stage sampling approach involving the random selection of census tracts followed by selection of households. All residents who were within the study age range (5–65 years) in the selected households were eligible to participate in the survey. Of the 2,691 eligible participants, we obtained ZIKV, DENV, and CHIKV serologic data for 2,070 persons; 480 persons were in the high, 815 in the intermediate, and 775 in the low socioeconomic stratum. We included a total of 899 households in the study. We collected individual and household data through interviews performed during home visits by using standardized questionnaires. In addition to collecting sociodemographic data and documenting clinical manifestations of arbovirus infections, we questioned participants about having had a fixed sex partner within the past 4 years. If the response was affirmative, they were then asked whether the sex partner resided in the same household. If the sex partner lived in the same house, study participants were prompted to specify which resident was their partner. After the interview, we collected a venous blood sample from each participant.

We used commercially available or in-house ELISAs to detect ZIKV and CHIKV immunoglobulins (IgG, IgG3, and IgM) in serum samples, as previously described (14). Assay sensitivities and specificities and IgG, IgG3, and IgM seroprevalence rates were determined as previously described (14). In addition, a subset of randomly selected serum samples was assayed by using a plaque reduction neutralization assay to further validate ZIKV IgG data.

We used raw serologic data for ZIKV (IgG and IgG3) and CHIKV (IgG and IgM) and the associated variables of interest obtained in the serosurvey (14) for the analyses described in this work. Because the DENV seroprevalence rate found in the survey was high, which was expected, we did not include DENV data in the analyses.

Data Analysis

We modeled the odds of testing positive for ZIKV in response to risk factors related to vector and sexual transmission by using a hierarchical 2-level linear mixed effects logistic regression (Appendix Figure). We considered having a sex partner (sexual transmission risk) and living with other ZIKV-seropositive participants (vector transmission risk) in the household as risk factors. Households formed the random intercept. We defined the binomial response variable by combining 2 diagnostic methods for each virus (tests for ZIKV IgG, ZIKV IgG3, CHIKV IgG, and CHIKV IgM) and assigned a positive status to persons who tested positive in >1 of the tests. We also investigated the effect of the residence type by adding another binary variable; a value of 1 was given for a person living in ground-level housing and 0 for a person living in a multistory apartment building. We included a person’s age in years in the model as a discrete variable. We calculated the odds ratio (OR) for age, which reflected the change in risk associated with each additional year of age. As a control, we used a model with the same structure to assess the odds of testing positive for CHIKV using the participants’ CHIKV serostatus. We reported ORs and 95% CIs for all risk factors included in the model. We interpreted OR values >1 as an increased probability of testing positive for ZIKV or CHIKV for each specific risk factor. We calculated p values according to a null hypothesis of OR = 1 and set the statistical significance threshold at 0.05. We estimated the models by using the lme4 package in R (The R Project for Statistical Computing, https://www.r-project.org).

Results

Among the 2,070 study participants that had ZIKV and CHIKV serologic data, 1,207 (58.3%) were women and 863 (41.7%) men. We determined the frequency distribution of the main characteristics of the study population categorized by sex partner status (Table 1). Of the 2,070 participants, 891 reported having a sex partner within the same household; 873 (98.0%) of those reported being heterosexual, and 18 (2.0%) homosexual (Table 1). Only 7 persons who reported having a sex partner within the household were <18 years of age; each was 17 years of age. ZIKV and CHIKV serostatus data were missing for 211 partners of the 891 participants because of either refusal to have blood drawn or because they were absent during the home visit. As a result, those persons were excluded from the models that accounted for the sex partner’s ZIKV and CHIKV serostatus. In the other models, all 2,070 participants were included.

In the ZIKV model, living in the same household with other persons who were ZIKV seropositive, regardless of whether they were sex partners, contributed significantly to the odds of testing positive for ZIKV (OR 1.47 [95% CI 1.17–1.84]; p<0.05) compared with living in a household with only seronegative persons. Having a sex partner within the household, irrespective of the partner’s ZIKV serologic status, increased the odds of testing positive for ZIKV by 64% (OR 1.64 [95% CI 1.36–1.99]; p<0.0001) compared with participants who had no sex partner in the household. When a sex partner was ZIKV seropositive, the odds of the other partner being seropositive increased by 94% (OR 1.94 [95% CI 1.51–2.5]; p<0.0001) compared with participants who did not have a ZIKV-seropositive sex partner in the household. In contrast, the odds of being ZIKV seropositive when the sex partner was seronegative for ZIKV was low, suggesting a potential protective effect, although this effect was not significant (OR 0.79 [95% CI 0.60–1.03]; p = 0.086).

The type of residence was significantly associated with the odds of testing positive for ZIKV; persons living in ground-level housing had ≈3 times higher odds of being seropositive than those living in a multistory apartment building (OR 2.94 [95% CI 2.25–3.84]; p<0.0001). In addition, we previously found that ZIKV seroprevalence differed among age groups, being lower in persons <15 years of age (14); therefore, we fitted a model to assess the effect of age on ZIKV seropositivity. The model showed a positive association between age and ZIKV exposure (OR 1.03 [95% CI 1.02–1.03]; p<0.0001), indicating the odds of testing positive for ZIKV increased by 3% with each additional year of age. Because of the significant effects of both housing type and age on ZIKV serostatus, we adjusted for those variables and reanalyzed the effects of living with other seropositive persons, having a sex partner in the household, or having a ZIKV-seropositive sex partner in the household as risk factors for ZIKV seropositivity. In adjusted models, sex partnerships within the household remained a significant risk factor for ZIKV exposure (Table 2). The heterogeneity of households accounted for 6% variation in the odds of being ZIKV seropositive after controlling for the factors included in the model.

We fitted a separate model using the same structure for CHIKV serologic data to serve as a control. In the CHIKV model, living with other CHIKV-seropositive persons, regardless of whether they were sex partners, contributed significantly to the odds of testing positive for CHIKV (OR 2.59 [95% CI 1.94–3.46]; p<0.0001). Having a sex partner within the household did not contribute significantly to the odds of testing positive for CHIKV (OR 1.13 [95% CI 0.94–1.36]; p = 0.2). Similarly, having a CHIKV-seropositive partner in the household did not significantly contribute to the odds of being CHIKV seropositive (OR 1.29 [95% CI 0.97–1.74]; p = 0.09). Having a CHIKV-seronegative partner decreased the odds of testing positive for CHIKV (OR 0.69 [95% CI 0.54–0.89]; p = 0.004). The risk factor outcomes remained consistent in the CHIKV models adjusted for housing type and age (Table 2).

Discussion

The role of sexual transmission in ZIKV epidemiology remains poorly understood, especially in virus-endemic countries having high levels of vector transmission. In a previous index- and household-based serosurvey conducted in Recife, Northeast Brazil, we identified sexual relationships within households as a risk factor for ZIKV exposure (5). The most substantial effect of sexual activity in that study was observed when analyzing ZIKV-seropositive index cases, whereby the likelihood of being ZIKV seropositive was 3 times higher for sex partners of ZIKV-seropositive index persons than for non–sex partners of those index persons within a household. That sex effect was not observed for CHIKV, which is transmitted by the same vectors as ZIKV and circulated in the study region around the same time as ZIKV but is not known to be sexually transmitted. That work involved index participants who had experienced symptomatic arboviral disease a few months before enrollment, along with their household members (5). In this study, we assessed whether similar effects would be seen in a dataset from a recent large population-based serologic survey designed to ensure representative demographic, socioeconomic, and spatial coverage across a wider area within the same region (14). Apart from the differences in the datasets (population-based rather than analyzing previously symptomatic index cases), distinct types of models were used.

Residing in a household with a person who was ZIKV or CHIKV seropositive was significantly associated with an increased risk for exposure to the respective virus. This outcome was expected because it is known that populations of Aedes aegypti mosquitoes, the vector of ZIKV and CHIKV, tend to establish themselves within domestic and peridomestic environments in residential areas. After a mosquito population is established within those areas and virus circulates, all susceptible residents of a house would have the same risk for vector transmission of the virus, assuming random mosquito biting of the residents. To corroborate this assumption, in the stratified analysis according to housing type, we found that persons residing in ground-level housing were 3 times more likely to be ZIKV or CHIKV seropositive than were persons living in multistory apartments. Efficient household transmission of arboviruses in areas with ground-level housing has been documented (5,20–24) and points to those houses being more easily infested with Ae. aegypti mosquitoes, likely because of mosquito species behavior and their proximity to more open-air water containers that can serve as breeding sites.

A critical finding from this study was that, in the models adjusted for housing type and age, having an active sex partner within a household increased the risk for ZIKV exposure by 25% and having a ZIKV-seropositive sex partner increased risk by 54%. Those findings corroborated our previous data (5) that showed a more robust association between increased risk for ZIKV infection and the sex partner’s seropositivity, indicating a higher level of virus exposure through sex corresponds to a greater risk of infection. Because of the low number of homosexual pairs in the study population, we were unable to evaluate potential differential risks between heterosexual and homosexual pairs. The differences in risk factors between those groups should be evaluated in future studies.

Serosurveys are limited in their ability to determine the timing of virus infection; previous exposure (indicated by antibody detection) could have occurred at any timepoint. Moreover, establishing a causal link between ZIKV infection and sexual activity requires assessing the timing of both events. One study conducted in Puerto Rico (4) investigated persons acutely infected with ZIKV and their sexual activity in the days preceding infection; this type of study is less susceptible to timing bias, and, consequently, can indicate a more precise causal link between sexual activity and ZIKV infection, although still indirectly. The population in this study was naive to ZIKV and CHIKV until those viruses were introduced and rapidly spread in the region during 2015–2016. After those initial outbreaks, a sharp decline in ZIKV and CHIKV transmission was observed in the region (25). We conducted the serosurvey (14) when local transmission of both viruses was minimal; the seropositive persons captured in this study were likely infected during the first transmission wave of ZIKV and CHIKV, thus limiting the timeframe of infection occurrence. The underlying assumption in this study was that participants with a fixed sex partner in the household over the previous 4 years likely maintained regular sexual activity during the period of ZIKV circulation in the region.

Serosurveys can also be biased by cross-reactivity in serologic assays. In this study, cross-reaction between DENV and ZIKV antibodies could have led to false positives. To minimize this cross-reactivity, we adjusted the cutoff value for the ZIKV ELISA according to well-characterized serum samples; however, some level of cross-reactivity likely still occurred. The residual cross-reactivity between ZIKV and DENV IgG might have slightly diluted the association between sexual partnership and ZIKV exposure, and a more specific test might reveal a stronger association. As previously described (5), the association between sexual partnership within households and ZIKV exposure was stronger when we used serologic data from plaque reduction neutralization tests than when we used IgG data from ELISAs. However, a potential higher-than-expected waning of ZIKV antibodies over time (26–29) could have resulted in some false negatives.

The central message from the population-level data is that sexual activity significantly contributes to ZIKV transmission at a household level in virus-endemic regions. This finding is supported by previous index-case research (5) and 2 other independent studies (4,6), including 1 involving persons acutely infected with ZIKV (4). Our findings also suggest that sexual transmission acts synergistically with vector transmission in ZIKV-endemic regions, but whether household transmission is more often initiated by a vector that then leads to sexual transmission in the household or vice versa remains unknown. Ultimately, the finding that increased risk for ZIKV exposure can be caused by sexual activity challenges the current belief that sexual transmission has minimal effect in ZIKV epidemiology, and transmission models should be recalibrated accordingly. This finding also emphasizes the need for health authorities and the scientific community to recognize ZIKV infection as a potential sexually transmitted disease. We advocate for the urgent inclusion of this transmission mode in ZIKV prevention and control strategies, particularly in virus-endemic countries. Although health authorities such as the World Health Organization and US Centers for Disease Control and Prevention have released official recommendations to prevent ZIKV sexual transmission (30,31), those recommendations have been primarily focused on travel-associated infections and CZS. However, sexual transmission should be considered in the broader context of ZIKV epidemiology because ZIKV infection can lead to different symptoms in an infected person. In addition, symptoms and long-term sequelae related to ZIKV-induced urogenital tract infections are not well understood, nor is the potential relationship between sexual transmission and CZS; both aspects warrant further investigation. For CZS, we strongly suggest including sexual behavior variables in Zika cohort studies, particularly in those studies conducting multivariable regression analyses on risk factors for congenital anomalies.

In conclusion, ZIKV transmission is associated with sexual activity. It is essential to consider gender and socio-economic factors within the context of ZIKV sexual transmission to develop appropriate prevention and control strategies. This need is particularly critical because ≈50% of the global female population have limited autonomy in determining their sexual and reproductive health and rights, as reported by the United Nations Population Fund (32). The involvement of male partners in prevention and control activities, for example, should be highly encouraged. Existing ZIKV control programs in virus-endemic countries, such as Brazil, that only focus on vector transmission are already biased against women, contributing to gender inequalities (33). Special attention should be given to populations at high risk of acquiring sexually transmitted infections, such as sex workers, when designing prevention and control strategies.

Dr. Magalhaes is an assistant professor in the Department of Entomology at Texas A&M University. Her research interests focus on factors influencing transmission dynamics of mosquitoborne diseases and integrating laboratory experiments on mosquito-pathogen interactions with studies of human cohorts in disease-endemic regions.

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Acknowledgments

We thank the persons who were recruited in the primary serosurvey study and the researchers who contributed to the Zika and chikungunya virus serologic assays.

The primary serosurvey (14), which allowed the current analysis, received financial support from the German Research Foundation/DFG via the Heidelberg Karlsruhe Research Partnership (to T.J.), the European Commission (ZIKAlliance grant no. H2020 734548 to T.J. and E.T.A.M.), the German Centre for Infection Research (to T.J.), Heidelberg Site, the Pan-American Health Organization, World Health Organization/Brazilian Ministry of Health (grant no. SCON2018-00276 to C.B.), and the State of Pernambuco Funding Agency (Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; grant no. BFP-0010-2.11/22 to I.F.T.V.). This work received support from Texas A&M University, Texas A&M AgriLife Research, the US Department of Agriculture National Institute of Food and Agriculture (Hatch Act funding no. 6070), and the Wellcome Trust (grant no. 226088/Z/22/Z). C.B. received a scholarship from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; grant PQ-2022, scholarship no. 304413/2022-4). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

The authors declare no conflict of interest.

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References

  1. Zhang  Q, Sun  K, Chinazzi  M, Pastore Y Piontti  A, Dean  NE, Rojas  DP, et al. Spread of Zika virus in the Americas. Proc Natl Acad Sci U S A. 2017;114:E4334–43. DOIPubMedGoogle Scholar
  2. Pierson  TC, Diamond  MS. The emergence of Zika virus and its new clinical syndromes. Nature. 2018;560:573–81. DOIPubMedGoogle Scholar
  3. Magalhaes  T, Foy  BD, Marques  ETA, Ebel  GD, Weger-Lucarelli  J. Mosquito-borne and sexual transmission of Zika virus: Recent developments and future directions. Virus Res. 2018;254:1–9. DOIPubMedGoogle Scholar
  4. Rosenberg  ES, Doyle  K, Munoz-Jordan  JL, Klein  L, Adams  L, Lozier  M, et al. Prevalence and incidence of Zika virus infection among household contacts of patients with Zika virus disease, Puerto Rico, 2016–2017. J Infect Dis. 2019;220:932–9. DOIPubMedGoogle Scholar
  5. Magalhaes  T, Morais  CNL, Jacques  IJAA, Azevedo  EAN, Brito  AM, Lima  PV, et al. Follow-up household serosurvey in Northeast Brazil for Zika virus: sexual contacts of index patients have the highest risk for seropositivity. J Infect Dis. 2021;223:673–85. DOIPubMedGoogle Scholar
  6. Aguilar Ticona  JP, Baig  H, Nery  N Jr, Doss-Gollin  S, Sacramento  GA, Adhikarla  H, et al. Risk of sexually transmitted Zika virus in a cohort of economically disadvantaged urban residents. J Infect Dis. 2021;224:860–4. DOIPubMedGoogle Scholar
  7. Ferdousi  T, Cohnstaedt  LW, McVey  DS, Scoglio  CM. Understanding the survival of Zika virus in a vector interconnected sexual contact network. Sci Rep. 2019;9:7253. DOIPubMedGoogle Scholar
  8. Gao  D, Lou  Y, He  D, Porco  TC, Kuang  Y, Chowell  G, et al. Prevention and control of Zika as a mosquito-borne and sexually transmitted disease: a mathematical modeling analysis. Sci Rep. 2016;6:28070. DOIPubMedGoogle Scholar
  9. Maxian  O, Neufeld  A, Talis  EJ, Childs  LM, Blackwood  JC. Zika virus dynamics: When does sexual transmission matter? Epidemics. 2017;21:48–55. DOIPubMedGoogle Scholar
  10. Cruz-Pacheco  G, Esteva  L, Ferreira  CP. A mathematical analysis of Zika virus epidemic in Rio de Janeiro as a vector-borne and sexually transmitted disease. J Biol Syst. 2019;27:83–105. DOIGoogle Scholar
  11. de Barros  ACWG, Santos  KG, Massad  E, Coelho  FC. Sex-specific asymmetrical attack rates in combined sexual-vectorial transmission epidemics. Microorganisms. 2019;7:112. DOIPubMedGoogle Scholar
  12. Olawoyin  O, Kribs  C. Effects of multiple transmission pathways on Zika dynamics. Infect Dis Model. 2018;3:331–44. DOIPubMedGoogle Scholar
  13. Sasmal  SK, Ghosh  I, Huppert  A, Chattopadhyay  J. Modeling the spread of Zika virus in a stage-structured population: effect of sexual transmission. Bull Math Biol. 2018;80:3038–67. DOIPubMedGoogle Scholar
  14. Braga  C, Martelli  CMT, Souza  WV, Luna  CF, Albuquerque  MFPM, Mariz  CA, et al. Seroprevalence of dengue, chikungunya and Zika at the epicenter of the congenital microcephaly epidemic in Northeast Brazil: a population-based survey. PLoS Negl Trop Dis. 2023;17:e0011270. DOIPubMedGoogle Scholar
  15. Government of Brazil, Instituto Brasileiro de Geografia e Estatística. Overview of Recife, Pernambuco, Brazil, 2022 [cited 2023 Dec 6]. https://cidades.ibge.gov.br/brasil/pe/recife/panorama
  16. Cordeiro  MT, Schatzmayr  HG, Nogueira  RM, Oliveira  VF, Melo  WT, Carvalho  EF. Dengue and dengue hemorrhagic fever in the State of Pernambuco, 1995-2006. Rev Soc Bras Med Trop. 2007;40:605–11. DOIPubMedGoogle Scholar
  17. Magalhaes  T, Braga  C, Cordeiro  MT, Oliveira  ALS, Castanha  PMS, Maciel  APR, et al. Zika virus displacement by a chikungunya outbreak in Recife, Brazil. PLoS Negl Trop Dis. 2017;11:e0006055. DOIPubMedGoogle Scholar
  18. Pessôa  R, Patriota  JV, Lourdes de Souza  M, Felix  AC, Mamede  N, Sanabani  SS. Investigation into an outbreak of dengue-like illness in Pernambuco, Brazil, revealed a cocirculation of Zika, chikungunya, and dengue virus type 1. Medicine (Baltimore). 2016;95:e3201. DOIPubMedGoogle Scholar
  19. de Oliveira  WK, de França  GVA, Carmo  EH, Duncan  BB, de Souza Kuchenbecker  R, Schmidt  MI. Infection-related microcephaly after the 2015 and 2016 Zika virus outbreaks in Brazil: a surveillance-based analysis. Lancet. 2017;390:861–70. DOIPubMedGoogle Scholar
  20. Braga  C, Luna  CF, Martelli  CM, de Souza  WV, Cordeiro  MT, Alexander  N, et al. Seroprevalence and risk factors for dengue infection in socio-economically distinct areas of Recife, Brazil. Acta Trop. 2010;113:234–40. DOIPubMedGoogle Scholar
  21. Harrington  LC, Scott  TW, Lerdthusnee  K, Coleman  RC, Costero  A, Clark  GG, et al. Dispersal of the dengue vector Aedes aegypti within and between rural communities. Am J Trop Med Hyg. 2005;72:209–20. DOIPubMedGoogle Scholar
  22. Mammen  MP, Pimgate  C, Koenraadt  CJM, Rothman  AL, Aldstadt  J, Nisalak  A, et al. Spatial and temporal clustering of dengue virus transmission in Thai villages. PLoS Med. 2008;5:e205. DOIPubMedGoogle Scholar
  23. Stoddard  ST, Forshey  BM, Morrison  AC, Paz-Soldan  VA, Vazquez-Prokopec  GM, Astete  H, et al. House-to-house human movement drives dengue virus transmission. Proc Natl Acad Sci U S A. 2013;110:994–9. DOIPubMedGoogle Scholar
  24. Yoon  IK, Getis  A, Aldstadt  J, Rothman  AL, Tannitisupawong  D, Koenraadt  CJM, et al. Fine scale spatiotemporal clustering of dengue virus transmission in children and Aedes aegypti in rural Thai villages. PLoS Negl Trop Dis. 2012;6:e1730. DOIPubMedGoogle Scholar
  25. Gardini Sanches Palasio  R, Marques Moralejo Bermudi  P, Luiz de Lima Macedo  F, Reis Santana  LM, Chiaravalloti-Neto  F. Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors. Sci Rep. 2023;13:18026. DOIPubMedGoogle Scholar
  26. Magalhaes  T, Morais  CNL, Azevedo  EAN, Jacques  IJAA, Castanha  PMS, Cordeiro  MT, et al. Two-year decay of Zika virus neutralizing antibodies in people living in an endemic region in Brazil. Am J Trop Med Hyg. 2022;107:186–9. DOIPubMedGoogle Scholar
  27. Aubry  M, Teissier  A, Huart  M, Merceron  S, Vanhomwegen  J, Roche  C, et al. Zika virus seroprevalence, French Polynesia, 2014–2015. Emerg Infect Dis. 2017;23:669–72. DOIPubMedGoogle Scholar
  28. Henderson  AD, Aubry  M, Kama  M, Vanhomwegen  J, Teissier  A, Mariteragi-Helle  T, et al. Zika seroprevalence declines and neutralizing antibodies wane in adults following outbreaks in French Polynesia and Fiji. eLife. 2020;9:e48460. DOIPubMedGoogle Scholar
  29. Langerak  T, Kasbergen  LMR, Chandler  F, Brinkman  T, Faerber  Z, Phalai  K, et al. Zika virus antibody titers three years after confirmed infection. Viruses. 2021;13:1345. DOIPubMedGoogle Scholar
  30. Polen  KD, Gilboa  SM, Hills  S, Oduyebo  T, Kohl  KS, Brooks  JT, et al. Update: interim guidance for preconception counseling and prevention of sexual transmission of Zika virus for men with possible Zika virus exposure—United States, August 2018. MMWR Morb Mortal Wkly Rep. 2018;67:868–71. DOIPubMedGoogle Scholar
  31. World Health Organization. WHO guidelines for the prevention of sexual transmission of Zika virus. 2020 [cited 2023 Dec 27]. https://www.who.int/publications/i/item/9789241550482
  32. United Nations Population Fund. My body is my own: claiming the right to autonomy and self-determination. 2021 [cited 2023 Dec 12]. https://algeria.unfpa.org/sites/default/files/pub-pdf/sowp2021_report_-_en_web_23.3.21_10_0.pdf
  33. Coutinho  RZ, Villanueva  A, Weitzman  A, Marteleto  LJ. Zika virus public health crisis and the perpetuation of gender inequality in Brazil. Reprod Health. 2021;18:40. DOIPubMedGoogle Scholar

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Suggested citation for this article: Magalhaes T, Coelho FC, Souza WV, Viana IFT, Jaenisch T, Marques ETA, et al. Effect of sexual partnerships on Zika virus transmission in virus-endemic region, Northeast Brazil. Emerg Infect Dis. 2024 Dec [date cited]. https://doi.org/10.3201/eid3012.231733

DOI: 10.3201/eid3012.231733

Original Publication Date: November 15, 2024

1These authors contributed equally to this article.

Table of Contents – Volume 30, Number 12—December 2024

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Tereza Magalhaes, Texas A&M University, Department of Entomology, TAMU 2475, College Station, TX 77843, USA

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Page created: September 24, 2024
Page updated: November 15, 2024
Page reviewed: November 15, 2024
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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